Fang Fang
Energy-Efficient Design of IRS-NOMA Networks
Fang, Fang; Xu, Yanqing; Pham, Quoc-Viet; Ding, Zhiguo
Authors
Yanqing Xu
Quoc-Viet Pham
Zhiguo Ding
Abstract
Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this paper, we focus on an IRS-assisted NOMA network and propose an energy-efficient algorithm to yield a good tradeoff between the sum-rate maximization and total power consumption minimization. We aim to maximize the system energy efficiency by jointly optimizing the transmit beamforming at the BS and the reflecting beamforming at the IRS. Specifically, the transmit beamforming and the phases of the low-cost passive elements on the IRS are alternatively optimized until the convergence. Simulation results demonstrate that the proposed algorithm in IRS-NOMA can yield superior performance compared with the conventional OMA-IRS and NOMA with a random phase IRS.
Citation
Fang, F., Xu, Y., Pham, Q., & Ding, Z. (2020). Energy-Efficient Design of IRS-NOMA Networks. IEEE Transactions on Vehicular Technology, 69(11), 14088-14092. https://doi.org/10.1109/tvt.2020.3024005
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 9, 2020 |
Online Publication Date | Sep 15, 2020 |
Publication Date | 2020-11 |
Deposit Date | Sep 13, 2020 |
Publicly Available Date | Nov 27, 2020 |
Journal | IEEE Transactions on Vehicular Technology |
Print ISSN | 0018-9545 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 69 |
Issue | 11 |
Pages | 14088-14092 |
DOI | https://doi.org/10.1109/tvt.2020.3024005 |
Files
Accepted Journal Article
(513 Kb)
PDF
Copyright Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC
(2021)
Journal Article
Joint Resource Allocation for Hybrid NOMA Assisted MEC in 6G Networks
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search